The Remote Sensing Environment Monitoring Of Multi-source Remote Sensing Data Fusion Impact

As people continue to pay attention to the living environment,ambient air quality has become an important indicator to measure the living environment,and aerosol pollution is one of the important causes of environmental pollution.Based on the current status of aerosol observations,this paper uses remote sensing inversion observations as a supplement to the existing ground observation methods for air pollution.The research focused on the analysis of the key issues of the difference in spatial and temporal resolution of aerosol optical thickness inversion from remote sensing data from a single source.The downscaling STARFM remote sensing data fusion algorithm was used to fuse multi-source data into fusion data with a more appropriate temporal and spatial resolution.Monitoring in AOD.This paper selects Gansu Province as the study area.The data used in the study includes MODIS data with a spatial resolution of 1000 m and Landsat-8 data with a spatial resolution of 30 m.Fusion remote sensing data with a resolution of up to 250 m.28 ground PM2.5 data observation stations were selected for remote sensing verification and comparative analysis,and the 250 m fusion remote sensing data set of Gansu Province in 2020 was obtained,and monthly average analysis was carried out to obtain the final AOD monthly average fusion remote sensing monitoring results of Gansu Province.Through the data of 28 ground PM2.5 observation sites inside and outside Gansu Province,the spatial distribution map of monthly average PM2.5 in Gansu Province in 2020 was obtained by interpolation,which was used as a ground verification and comparison sample for AOD inversion of single-source and multi-source remote sensing data.The main conclusions of the research work of this article include:(1)Combined with the verification of ground PM2.5 measurements in Gansu Province,remote sensing inversion of AOD has a positive correlation with PM2.5concentration,and the PM2.5 observed on the ground in areas with higher AOD is also at a higher concentration.Although the verification results obtained so far show that the use of AOD is not enough for the quantitative assessment of PM2.5,AOD and PM2.5 concentration are related and can meet the requirements of air pollution monitoring in Gansu Province.(2)In order to obtain the high time resolution of MODIS satellite remote sensing data and the high spatial resolution of Landsat-8 satellite remote sensing data at the same time,the downscaling STARFM data fusion algorithm can better meet the requirements of satellite remote sensing data fusion.After inversion of 250 m spatial resolution remote sensing data,the AOD obtained is consistent with the AOD obtained from MODIS and Landsat-8 single-source data inversion.The spatial resolution is higher than MODIS,and the temporal resolution and coverage are also better than Landsat-8.data.This algorithm is suitable for a large range of AOD inversion.(3)Compared with the PM2.5 monitoring results,the AOD monitoring results can monitor complex terrain.The monitoring results show that the aerosol pollution in the Qilian Mountains,the Loess Plateau and the Hexi Corridor in Gansu Province is inconsistent,and the aerosol pollution in the mountain peak area The degree of aerosol pollution in the valley is relatively light,and the degree of refinement of remote sensing inversion of AOD is higher than that of PM2.5 monitoring.(4)The monthly average AOD retrieved by satellite remote sensing in 2020 is consistent with the spatial distribution characteristics of aerosol pollution in Gansu Province obtained by spatial analysis of monthly PM2.5 from ground observations,showing high in the southeast,low in the northwest,high in the city and low in the suburbs.specialty.The time distribution of aerosol pollution in the east and west regions of Gansu Province is uneven.January and November-December are periods of severe aerosol pollution.The average level of aerosol pollution is higher in January,and July-September is the period with the lightest aerosol pollution.Urban aerosol pollution in the northwestern region mainly occurs in the winter and spring seasons,while the pollution level in summer-autumn season is relatively low,which is different from the severe pollution in the autumn-east season in southeast China.Through the above research,it provides a reference for remote sensing monitoring of aerosol pollution in Gansu Province,and proves that remote sensing monitoring AOD can better supplement the problem of insufficient ground observation sites,especially for the vast and sparsely populated mountainous and desert belts of Gansu Province.Supplementary role.Multi-source remote sensing data can obtain fusion data with appropriate temporal and spatial resolution through fusion,which reduces the technical requirements for satellite remote sensing sensors.In addition,the temporal and spatial distribution characteristics of aerosol pollution in Gansu Province obtained by this research can provide a reference for further research on the source and diffusion transmission process of aerosol pollution in Gansu Province.